DSpace Collection:http://hdl.handle.net/123456789/138
Sat, 10 Dec 2016 01:06:06 GMT2016-12-10T01:06:06ZUnder ground Coal Mine Monitoring with Wireless Sensor Networkshttp://hdl.handle.net/123456789/3588
Title: Under ground Coal Mine Monitoring with Wireless Sensor Networks
Authors: Ramesh SasidharanMon, 13 Jun 2011 18:30:00 GMThttp://hdl.handle.net/123456789/35882011-06-13T18:30:00ZSeam Carving for Media Retargetinghttp://hdl.handle.net/123456789/3507
Title: Seam Carving for Media Retargeting
Authors: Suvija S
Abstract: The diversity and versatility of display devices today imposes new demands on digital media. Designers must create different alternatives for web-content and design different layouts for different devices. Traditional image resizing techniques are oblivious to the content of the image when changing its height or width. In contrast, media (i.e., image and video) retargeting takes content into account. For example, one would like to change the aspect ratio of a video without making human figures look too fat or too skinny, or change the size of an image by automatically removing “unnecessary” portions while keeping the “important” features intact. Here is a simple operator; seam carving to support image and video retargeting. A seam is an optimal 1D path of pixels in an image, or a 2D manifold in a video cube, going from top to bottom, or left to right. Optimality is defined by minimizing an energy function that assigns costs to pixels. Here showing that computing a seam reduces to a dynamic programming problem for images and a graph min-cut search for video and also demonstrate that several image and video operations, such as aspect ratio correction, size change, and object removal, can be recast as a successive operation of the seam carving operator.Sun, 12 Jun 2011 18:30:00 GMThttp://hdl.handle.net/123456789/35072011-06-12T18:30:00ZShift Register Based QCA Memory Architecturehttp://hdl.handle.net/123456789/3506
Title: Shift Register Based QCA Memory Architecture
Authors: Bineesh.V
Abstract: Quantum-dot cellular automata (QCA) is a potentially promising technology as an
alternative to complementary-metal-oxide semiconductor (CMOS) technology for nanoscale
device implementations. The implementation of the QCA technology has been demonstrated
with metal-dot QCA devices at very low (e.g., cryogenic) temperatures. Circuit structures
such as the majority gate, binary wires and fan outs have been fabricated with metal-QCA
dots.
A quantum-dot cellular automata (QCA) design of an nxm-bit, shift-register-based
memory architecture is presented. The architecture maintains data at a stable conformation,
which is contrary to traditional data in-motion concept for QCA architectures. The memory
architecture is based on an existing dual-phase-synchronized, line-based, one-bit QCA
memory cell building block that provides size and latency improvements over other known
one-bit memory cells through its novel clocking scheme. Read/write latencies up to ~2X
lower than the existing tile-based architecture with three-phase, line-based memory cells are
obtained.Thu, 09 Jun 2011 18:30:00 GMThttp://hdl.handle.net/123456789/35062011-06-09T18:30:00ZPeople - Centric Urban Sensinghttp://hdl.handle.net/123456789/3505
Title: People - Centric Urban Sensing
Authors: Sunitha Krishnan K SThu, 09 Jun 2011 18:30:00 GMThttp://hdl.handle.net/123456789/35052011-06-09T18:30:00Z